Source: victoriametrics
Maintainer: Debian Go Packaging Team <team+pkg-go@tracker.debian.org>
Uploaders:
 Guillem Jover <gjover@sipwise.com>,
Section: net
Testsuite: autopkgtest-pkg-go
Priority: optional
Build-Depends:
 debhelper-compat (= 13),
 dh-golang,
 golang-any,
 golang-github-aws-aws-sdk-go-dev,
 golang-github-cespare-xxhash-dev (>= 2.1.1),
 golang-github-golang-snappy-dev,
 golang-github-klauspost-compress-dev (>= 1.9.5),
 golang-github-urfave-cli-v2-dev,
 golang-github-valyala-fastjson-dev (>= 1.6.1),
 golang-github-valyala-fastrand-dev <!nocheck>,
 golang-github-valyala-fasttemplate-dev,
 golang-github-valyala-gozstd-dev,
 golang-github-valyala-histogram-dev,
 golang-github-valyala-quicktemplate-dev,
 golang-github-victoriametrics-fastcache-dev,
 golang-github-victoriametrics-metrics-dev (>= 1.12.3),
 golang-github-victoriametrics-metricsql-dev (>= 0.9.1),
 golang-golang-x-oauth2-google-dev,
 golang-golang-x-sys-dev,
 golang-google-api-dev (>= 0.15.0),
 golang-google-cloud-dev (>= 0.49.0),
 golang-gopkg-yaml.v2-dev,
# Needed by vendored module (github.com/cheggaaa/pb/v3/)
 golang-github-fatih-color-dev,
 golang-github-mattn-go-colorable-dev,
 golang-github-mattn-go-isatty-dev,
 golang-github-mattn-go-runewidth-dev,
 golang-github-vividcortex-ewma-dev,
# Needed by vendored module (github.com/prometheus/prometheus/)
 golang-github-go-kit-kit-dev,
 golang-github-oklog-ulid-dev,
 golang-github-pkg-errors-dev,
 golang-github-prometheus-client-golang-dev,
 golang-github-prometheus-common-dev,
 golang-go.uber-atomic-dev,
Standards-Version: 4.5.1
Vcs-Browser: https://salsa.debian.org/go-team/packages/victoriametrics
Vcs-Git: https://salsa.debian.org/go-team/packages/victoriametrics.git
Homepage: https://github.com/VictoriaMetrics/VictoriaMetrics
Rules-Requires-Root: no
XS-Go-Import-Path: github.com/VictoriaMetrics/VictoriaMetrics

Package: victoria-metrics
Architecture: any
Multi-Arch: foreign
Pre-Depends:
 ${misc:Pre-Depends},
Depends:
 adduser,
 ${misc:Depends},
 ${shlibs:Depends},
Built-Using: ${misc:Built-Using}
Description: fast, cost-effective and scalable time series database
 VictoriaMetrics is a fast, cost-effective and scalable time-series database.
 It can be used as long-term remote storage for Prometheus.
 .
 Prominent features:
  * Supports Prometheus querying API, so it can be used as Prometheus
    drop-in replacement in Grafana. VictoriaMetrics implements MetricsQL
    query language, which is inspired by PromQL.
  * Supports global query view. Multiple Prometheus instances may write
    data into VictoriaMetrics. Later this data may be used in a single query.
  * High performance and good scalability for both inserts and selects.
    Outperforms InfluxDB and TimescaleDB by up to 20x.
  * Uses 10x less RAM than InfluxDB when working with millions of unique time
    series (aka high cardinality).
  * Optimized for time series with high churn rate. Think about
    prometheus-operator metrics from frequent deployments in Kubernetes.
  * High data compression, so up to 70x more data points may be crammed into
    limited storage comparing to TimescaleDB.
  * Optimized for storage with high-latency IO and low IOPS (HDD and network
    storage in AWS, Google Cloud, Microsoft Azure, etc).
  * A single-node VictoriaMetrics may substitute moderately sized clusters
    built with competing solutions such as Thanos, M3DB, Cortex, InfluxDB or
    TimescaleDB.
  * Easy operation:
    - VictoriaMetrics consists of a single small executable without external
      dependencies.
    - All the configuration is done via explicit command-line flags with
      reasonable defaults.
    - All the data is stored in a single directory pointed by
      -storageDataPath flag.
    - Easy and fast backups from instant snapshots to S3 or GCS with
      vmbackup / vmrestore.
    - Data migration between VictoriaMetrics, Prometheus and InfluxDB with
      vmctl.
  * Storage is protectedfrom corruption on unclean shutdown (i.e. OOM,
    hardware reset or kill -9) thanks to the storage architecture.
  * Supports metrics' scraping, ingestion and backfilling (#backfilling)
    via the following protocols:
    - Metrics from Prometheus exporters such as node_exporter.
    - Prometheus remote write API
    - InfluxDB line protocol
    - Graphite plaintext protocol with tags if -graphiteListenAddr is set.
    - OpenTSDB put message if -opentsdbListenAddr is set.
    - HTTP OpenTSDB /api/put requests if -opentsdbHTTPListenAddr is set.
    - /api/v1/import.
  * Ideally works with big amounts of time series data from Kubernetes, IoT
    sensors, connected cars, industrial telemetry, financial data and
    various Enterprise workloads.
  * Has open source cluster version.

Package: golang-github-victoriametrics-victoriametrics-dev
Section: golang
Architecture: all
Multi-Arch: foreign
Depends:
 golang-github-aws-aws-sdk-go-dev,
 golang-github-cespare-xxhash-dev (>= 2.1.1),
 golang-github-golang-snappy-dev,
 golang-github-klauspost-compress-dev (>= 1.9.5),
 golang-github-valyala-fasttemplate-dev,
 golang-golang-x-oauth2-google-dev,
 golang-golang-x-sys-dev,
 golang-google-api-dev (>= 0.15.0),
 golang-google-cloud-dev (>= 0.49.0),
 golang-gopkg-yaml.v2-dev,
 ${misc:Depends},
Description: fast, cost-effective and scalable time series database (library)
 This package provides the library code for VictoriaMetrics.